no code implementations • 25 Jan 2022 • Dongrui Liu, Chuanchuan Chen, Changqing Xu, Robert Qiu, Lei Chu
However, unsupervised methods mainly depend on the global descriptors, which ignore the high-level representations of local geometries.
2 code implementations • 22 Dec 2021 • Liang Pan, Tong Wu, Zhongang Cai, Ziwei Liu, Xumin Yu, Yongming Rao, Jiwen Lu, Jie zhou, Mingye Xu, Xiaoyuan Luo, Kexue Fu, Peng Gao, Manning Wang, Yali Wang, Yu Qiao, Junsheng Zhou, Xin Wen, Peng Xiang, Yu-Shen Liu, Zhizhong Han, Yuanjie Yan, Junyi An, Lifa Zhu, Changwei Lin, Dongrui Liu, Xin Li, Francisco Gómez-Fernández, Qinlong Wang, Yang Yang
Based on the MVP dataset, this paper reports methods and results in the Multi-View Partial Point Cloud Challenge 2021 on Completion and Registration.
no code implementations • 2 Dec 2021 • Dongrui Liu, Shaobo Wang, Jie Ren, Kangrui Wang, Sheng Yin, Quanshi Zhang
We explain such a two-phase phenomenon in terms of the learning dynamics of the MLP.
no code implementations • NeurIPS 2021 • Wen Shen, Qihan Ren, Dongrui Liu, Quanshi Zhang
In this paper, we evaluate the quality of knowledge representations encoded in deep neural networks (DNNs) for 3D point cloud processing.
1 code implementation • 18 Oct 2021 • Lifa Zhu, Changwei Lin, Dongrui Liu, Xin Li, Francisco Gómez-Fernández
The main goal of point cloud registration in Multi-View Partial (MVP) Challenge 2021 is to estimate a rigid transformation to align a point cloud pair.
1 code implementation • 6 Jul 2021 • Lifa Zhu, Dongrui Liu, Changwei Lin, Rui Yan, Francisco Gómez-Fernández, Ninghua Yang, Ziyong Feng
3D point cloud registration is a fundamental task in robotics and computer vision.
1 code implementation • 15 Sep 2020 • Dongrui Liu, Chuanchuan Chen, Changqing Xu, Qi Cai, Lei Chu, Fei Wen, Robert Caiming Qiu
We prove that CAT is a rotation and translation-invariant transformation based on the theoretical analysis.